The Dataset and Exploratory Data Analysis
Explore the steps to understand and visualize a coded, confidential dataset using pandas and plotting techniques. Learn to assess feature distributions, scale differences, and baseline class accuracy to prepare for building effective KNN classification models.
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Context
A client contacts us, and their data is highly confidential. The client does not want to disclose the names of the features, and they are already coded for confidentiality (client’s preference). The data is growing, and the client wants to use machine learning to make decisions and automate their processes. So, we are tasked with using the given coded data and the target class in the Results column to develop a machine learning model to facilitate decision-making. It’s a classification problem, and we decided to start with the KNN algorithm.
Let's see how it works and import the libraries that we ...